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Phd Computer Science Jobs in Detroit, MI (NOW HIRING)

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields. * Experience building meaningful visualizations and explaining model behavior and results.

New

Rolls-Royce

Product Owner Windchill

Novi, MI

PhD in Engineering, Computer Science, Information Systems, OR * 6+ years of hands-on experience with PTC Windchill PLM in lieu of a degree Preferred Requirements: * Demonstrated experience working in ...

Rollsroyce

Product Owner Windchill

Novi, MI

PhD in Engineering, Computer Science, Information Systems, OR * 6+ years of hands-on experience with PTC Windchill PLM in lieu of a degree Preferred Requirements: * Demonstrated experience working in ...

Rolls-Royce

Product Owner Windchill

Novi, MI · On-site

PhD in Engineering, Computer Science, Information Systems, OR * 6+ years of hands-on experience with PTC Windchill PLM in lieu of a degree Preferred Requirements: * Demonstrated experience working in ...

Relativity

Senior Manager, Applied Science

Detroit, MI · On-site

A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.

Posted today

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All JobsPhd Computer Science JobsPhd Computer Science Jobs in Detroit, MI

Phd Computer Science information

See Detroit, MI salary details

$51.7K

$76K

$89.7K

How much do phd computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for phd computer science in Detroit, MI is $76,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $85,600.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Detroit, MI? For Phd Computer Science jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Detroit, MI look for? The top searched job categories for Phd Computer Science jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Phd Computer Science jobs? Cities near Detroit, MI with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Detroit, MI as of August 2026, with employment types broken down into 9% Internship, 68% Full Time, 14% Part Time, and 9% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $76,044 per year, or $36.6 per hour.

Staff, ML Engineer - Scene Generation

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator. High-quality data from novel scenarios closes the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, contributing to Torc's data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.
What You'll Do
  • Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders.
  • Set and own the technical vision and roadmap for the Scene Generation team's Neural Rendering and generative modeling work, aligned to Torc's AV 3.0 strategy.
  • Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.
  • Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.
  • Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.
  • Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.
  • Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.
  • Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.
  • Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team's pipeline.
  • Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.
  • Drive alignment across team interfaces to the rest of the organization, representing Scene Generation's roadmap, priorities, and constraints to peer teams and leadership.
  • Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch.
  • PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.
  • Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
  • Experience with production data in the context of robotics and/or autonomous driving
  • Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
  • Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.
  • Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.
  • Experience with VDI and cloud-based machine learning development environments.
  • Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.
  • Track record of mentoring and developing engineers, including more senior individual contributors.
  • Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.

Bonus Points!
  • Experience with autonomous driving or robotics perception in production environments.
  • Proficiency with CUDA programming for efficient rendering of large-scale scenes.
  • Publications in top tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.
  • Experience with MLOps and infrastructure tools such as Ray.
  • Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
  • Prior experience as a formal people manager or tech lead.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102840
Hiring Range for Job Opening
US Pay Range
$249,600-$299,500 USD

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